中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Information geometry in the population dynamics of bacteria

文献类型:期刊论文

作者Zhang, Zihan1; Guan, Shaohua1; Shi, Hualin1
刊名JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
出版日期2020
卷号2020期号:7页码:73501
关键词STATISTICAL DISTANCE CELL-SIZE THERMODYNAMICS GROWTH MODELS
ISSN号1742-5468
DOI10.1088/1742-5468/ab96b0
英文摘要In recent years, researchers have delved into the relationship between information and stochastic thermodynamics. In this paper, we apply the information geometry to discover the physical limitation in bacterial growth. By mapping the evolution of distribution to the motion on the hypersphere, we discover a relationship between evolutionary time and cost in the bacterial growth process. Through the change in fitness, we can understand how natural selection affects this relationship. From the expression of geodesic in the maximum entropy (MaxEnt) model, we find that the statistical distance between two steady distributions of bacterial growth rate is positively correlated to the number of independent fluxes.
学科主题Mechanics ; Physics
语种英语
源URL[http://ir.itp.ac.cn/handle/311006/27366]  
专题理论物理研究所_理论物理所1978-2010年知识产出
作者单位1.Chinese Acad Sci, Inst Theoret Phys, Key Lab Theoret Phys, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China
推荐引用方式
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Zhang, Zihan,Guan, Shaohua,Shi, Hualin. Information geometry in the population dynamics of bacteria[J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,2020,2020(7):73501.
APA Zhang, Zihan,Guan, Shaohua,&Shi, Hualin.(2020).Information geometry in the population dynamics of bacteria.JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,2020(7),73501.
MLA Zhang, Zihan,et al."Information geometry in the population dynamics of bacteria".JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT 2020.7(2020):73501.

入库方式: OAI收割

来源:理论物理研究所

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